I’m working through finding the shortest distance from a point to an ellipse using Lagrange multipliers to deal with the constraint.
Solving the equations
I'm working through two equations to find λ. Then, substituting y in terms of x into the ellipse equation to connect them, leading to a combined equation.
Adjusting my approach
I’m simplifying the equation by clearing denominators and expressing terms with a substitution. This results in a polynomial equation in terms of x.
Unveiling the quartic
I expanded the polynomial, simplified terms, and combined like terms to form a quartic equation. Now, I’m checking if x=0 is a solution.
Testing potential solutions
I’m mapping out x=5 as a solution to the quartic equation. Then, I opt for a geometric method, parameterizing the ellipse and minimizing the distance from a point on the ellipse to (5,6).
Crafting a strategy
I’m expanding f(t) and using trigonometric identities. Recognizing cos^2 t + sin^2 t = 1 simplifies the expression to 7 cos^2 t + 1.
Taking derivatives and factoring
I’m differentiating f(t) with respect to t, aiming to find critical points. Factoring out sin t or cos t could simplify the equation, potentially revealing solutions.
Solving sine and cosine
I’m factoring and examining critical points of f′(t). If cost=0, the nearby ellipse points might not yield the minimal distance to P(5,6).
Working through trigonometric relationships
OK, I’m defining tant=k to express sint and cost in terms of k, which could lead to an optimal solution.
Revisiting trigonometric equations
I’m re-evaluating the trigonometric substitution, aiming to balance terms and simplify. Ensuring both sine and cosine components are precisely managed is key to finding an optimal solution.
Simplifying expressions
OK, let me see. I’m mapping out trigonometric relationships using a single variable k=tant. This should streamline the equation and make the problem more manageable.
Here’s what I’m working on
I’m trying out different trigonometric manipulations to express cost and sint in simpler terms, aiming for a straightforward, solvable trigonometric equation.
Piecing together equations
Substituting cost and sint into their relationship, I’m arriving at a quartic equation in terms of s, aiming to identify potential solutions.
Trying another way
I’m digging into different methods to solve the quartic equation, including numeric and geometric approaches. It’s interesting to see how these strategies might simplify the problem.
Taking a closer look
I'm focusing on f(t)=(22cost−5)2+(sint−6)2, aiming to find critical points where f′(t)=0.
Taking a closer look
I’m aiming to differentiate f(t) with respect to t, focusing carefully on each term. This approach will help pinpoint critical points where f′(t)=0.
Piecing together derivatives
I’m working through the derivative of f(t), careful with each term. This allows me to pinpoint critical points effectively.
Piecing together terms
I’m differentiating f2(t) with respect to t, skipping intermediate steps. This helps identify critical points where f1′(t)=0 and f2′(t)=0.
Grouping and simplifying
I’m grouping and factoring terms, setting the derivative to zero. This reveals critical points by equating the result to zero, using trigonometric identities and substitutions.
Assuming cost as 1+tan2t1: This definition helps simplify the equation and align with trigonometric identities.
Reworking the equation
I’m expressing k and M to simplify the equation, aiming to balance terms and align them with trigonometric identities. This makes finding solutions more straightforward.
Piecing together
I’m expanding and simplifying terms to form a quartic equation in k. This process involves grouping and balancing terms with 2 and other elements.
Testing rational solutions
OK, let me see: I’m assessing k=1 and k=3 as potential rational solutions for the quartic equation. However, these values don’t seem to satisfy the equation.
Defining the problem
I'm working through the challenge of minimizing the distance from P(5,6) to the ellipse, focusing on an approximate numerical method to find the nearest point on the ellipse boundary.
Mapping out distance
I’m testing different parameter values for the ellipse to find the nearest point to P(5,6). Values for t like t=0, t=π/2, and t=π/4 are considered.
Pinpointing the optimal angle
Testing t=0.9 radians, I’m calculating the coordinates and distance. This refinement should more accurately represent the closest point on the ellipse to P(5,6).
Testing angles
I'm refining values for t to hone in on the closest point on the ellipse to P(5,6). Adjustments in increments of t are revealing clearer results.
Mapping out angles
Mapping multiple angles, it appears the minimal distance hovers around 6.04-6.06. Continuously refining the angle should accurately determine the closest point on the ellipse to P(5,6).
Determining key values
I’m concluding that the minimal distance from P(5,6) to the ellipse is likely around 6.04. Considering the problem requirements, a numeric or simple exact solution seems plausible.
Calculating critical points
I’m mapping out the derivative approach to pinpoint critical points, refining my guess for t to narrow down the minimal distance.
Nailing down critical points
Piecing together the derivative for t around 0.73 to pinpoint minimal distance. The positive derivative suggests decreasing t could lead to a smaller function value.
Tracking progression
I’m honing in on a precise interval for t and evaluating the sum of terms. This ensures closer adherence to the guideline formatting.
Estimating near the root
I'm narrowing down the interval for t to pinpoint the root. The sign shifts between t=0.622 and t=0.623, suggesting the root is between these values.
Nailing the root
I’m honing in on the root for t by testing values between t=0.622 and t=0.623. This helps confirm the critical point more accurately.
Estimating the distance
Testing various t values, I find that the minimal distance from P(5,6) to the ellipse is roughly 6.057, when using t around 0.63.
Evaluating angle proximity
I’m thinking through the closeness of angles to pinpoint the minimal distance from P(5,6) to the ellipse, concluding that t around 0.63 yields a distance of about 6.05.
Thought about 椭圆与距离计算,持续 1m 38s
Answer
下面给出一个按照高中数学“规范化解题”要求所写的详细示范。题目如下:
已知椭圆 C:8x2+y2=1,定点 P(5,6)。求定点 P 到椭圆 C 的最近距离。
一、题目类型与解题要求
题目类型
这是一个“最值”类的几何优化问题,需要在给定曲线(椭圆)上,寻找一点使得到定点 P 的距离最小。